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Research in Engineering Education Symposium 2011 - rees2009

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Universidad Politécnica de Madrid (UPM) Pág<strong>in</strong>a 749 de 957<br />

the reported sample. This procedure lead to an acceptable level of confidence on the tests<br />

capacity for measur<strong>in</strong>g mental ability for respond<strong>in</strong>g <strong>in</strong> given times to novel tasks.<br />

2. Sample<br />

The sample was composed by 93 students (64 male and 29 female), exhibit<strong>in</strong>g an age<br />

range between 17 and 25 years; be<strong>in</strong>g the age average of 18.6, with a standard deviation of<br />

1.25. The target students are currently enrolled <strong>in</strong> Technology related programs at the<br />

University of Santiago of Chile.<br />

3. Instruments<br />

The tests were constructed consider<strong>in</strong>g the three ma<strong>in</strong> concepts: m<strong>in</strong>d resistance (T1),<br />

m<strong>in</strong>d power (T2), and learn<strong>in</strong>g speed (T3). The first one, T1, is a subtest that assesses the<br />

capacity to organize ideas, use general knowledge, use work<strong>in</strong>g memory and make nontrivial<br />

associations, on a limited time period. M<strong>in</strong>d power, T2, confronts the student with<br />

the challenge of answer<strong>in</strong>g five simple new tasks, that don’t require us<strong>in</strong>g previous<br />

knowledge, <strong>in</strong> a short amount of time. The third subtest, learn<strong>in</strong>g speed, T3, that <strong>in</strong>tends to<br />

measure the ability to quickly learn someth<strong>in</strong>g <strong>in</strong> a determ<strong>in</strong>ed amount of time, was<br />

designed through two ma<strong>in</strong> axes, comprehension and reason<strong>in</strong>g.<br />

In order to ensure the <strong>in</strong>strument reliability a Cronbach’s α (alpha) has been applied to the<br />

whole test, produc<strong>in</strong>g a .885 for the obta<strong>in</strong>ed results, which, accord<strong>in</strong>g to Schmidt (2006),<br />

is considered good enough <strong>in</strong> this k<strong>in</strong>d of studies.<br />

Table 1. Reliability Statistics<br />

These <strong>in</strong>struments present an acceptable discrim<strong>in</strong>at<strong>in</strong>g validity, given the correlations<br />

observed <strong>in</strong> the chart above. The obta<strong>in</strong>ed Pearson <strong>in</strong>dicators on the different test sections<br />

(T1, T2, T3) show a correlation degree, stronger between m<strong>in</strong>d power (T2) and learn<strong>in</strong>g<br />

speed (T3) (p=.34). However, it has been ruled out the possibility that they could be<br />

measur<strong>in</strong>g the same variable, consider<strong>in</strong>g that the correlations don’t exceed .38.<br />

4. Procedure<br />

The test was applied to two different courses, namely first year program <strong>in</strong> Personnel<br />

Adm<strong>in</strong>istration, and first year program <strong>in</strong> Industrial Automation at the Faculty of<br />

Technology . In both processes the protocol was thoroughly followed <strong>in</strong> order to avoid<br />

disruptions on the data. The test application took 2 hours and a half, with 5 m<strong>in</strong>utes break<br />

Proceed<strong>in</strong>gs of <strong>Research</strong> <strong>in</strong> Eng<strong>in</strong>eer<strong>in</strong>g <strong>Education</strong> <strong>Symposium</strong> <strong>2011</strong><br />

Madrid, 4 th - 7 th October <strong>2011</strong>

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